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On multistep prediction error methods for time series models

โœ Scribed by Petre Stoica; Arye Nehorai


Publisher
John Wiley and Sons
Year
1989
Tongue
English
Weight
574 KB
Volume
8
Category
Article
ISSN
0277-6693

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โœฆ Synopsis


Multistep prediction error methods for linear time series models are considered from both a theoretical and a practical standpoint. The emphasis is on autoregressive moving-average (ARMA) models for which a multistep prediction error estimation method (PEM) is developed. The results of a Monte Carlo simulation study aimed at establishing the possible merits of the multistep PEM are presented.


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